Research Portfolio
Edward
Kempa
Transparent AI for medicine.
I build interpretable models for healthcare: language-based mental-health biomarkers, multimodal clinical prediction, and report generation grounded in patient data and literature.
B.S. Computer Science & B.A. Economics, UF '26 · M.S. student in AI in Biomedical & Health Sciences, UF College of Medicine
Research conducted at & presented in
Selected projects
Ten projects across computational psychiatry, multimodal clinical AI, interpretability, and CS education. Click any card for detail, results, and documents.
Publications & documents
Five peer-reviewed publications (LREC 2026 ×2, ITiCSE 2025, World Congress on ADHD 2025, SIGCSE 2024), plus every poster, report, and recording.
Let's talk research.
Open to research collaborations, PhD opportunities, and conversations at the intersection of ML and healthcare.